Andrew Yost
Oregon Department of Forestry
5 Papers
18 Citations
Andrew Yost is an academic researcher from Oregon Department of Forestry. The author has contributed to research in topics: Fire protection & Climate change. The author has an hindex of 4, co-authored 5 publications.
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Papers
Predictive modeling and mapping sage grouse (Centrocercus urophasianus) nesting habitat using Maximum Entropy and a long-term dataset from Southern Oregon
TL;DR: The objectives of this study were to quantify the relationships between sage grouse nest-site locations and a set of associated biophysical attributes using Maximum Entropy, find the best subset of predictor variables that explain the data adequately, and create quantitative Sage grouse distribution maps representing the relative likelihood of nest- site habitat based on those relationships.
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The normal fire environment—Modeling environmental suitability for large forest wildfires using past, present, and future climate normals
TL;DR: In this article, the authors modeled the normal fire environment for occurrence of large forest wildfires (>40ha) for the Pacific Northwest Region of the United States and used downscaled climate projections for two greenhouse gas concentration scenarios and over 30 climate models to project changes in environmental suitability for large forest fires over the 21st century.
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Incorporating LiDAR metrics into a structure-based habitat model for a canopy-dwelling species
TL;DR: In this article, the authors used the full set of metrics available in the LiDAR processing software FUSION, including several structural metrics that have not previously been used in published habitat models, to identify those that best quantify structural attributes associated with nest site occupancy by the Northern Spotted Owl (NSO), Strix occidentalis caurina.
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Quantifying density-independent mortality of temperate tree species
Heather E. Lintz,Andrew N. Gray,Andrew Yost,Richard A. Sniezko,Christopher W. Woodall,Matt Reilly,Karen Hutten,Mark Elliott +7 more
TL;DR: A new indicator to summarize raw density-independent mortality of forested stands by species from the last decade of the 20th century to the first century of the 21st century using forest inventory data is developed and argued can aid management and policy decisions and the understanding of complex vegetation dynamics in a changing climate.
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Spatial Analysis of Greater Sage-grouse Habitat Use in Relation to Landscape Level Habitat Structure
TL;DR: This work used spatial modeling (Maximum Entropy) to develop predictive models of GSG seasonal resource use, generate probability maps for visual assessment, and characterize response curves associated with GSG habitat preference based on individual landscape predictor variables.
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